balikasg / semeval2016-twitter_sentiment_evaluation Goto Github PK

Hi,

I was wondering if you could make the code concerning semeval 2016 task 4, subtask B available. I'm interested in comparing your system with other sentiment classification systems. Please explain how the feature extraction module is called by the module which does sentiment classification.

I run you code, but get the error like these, have you met before? (when createDataMatrix() for training data, I have change some code, so you can ignore the line number)

Traceback (most recent call last):
File "sa.py", line 55, in
different_pos_tags, pos_text, voca_clusters) # Combine all features (train)
File "/usr/lib64/python2.7/site-packages/scipy/sparse/base.py", line 127, in iter
yield self[r,:]
TypeError: 'coo_matrix' object has no attribute 'getitem'